A Novel Rough WASPAS Approach for Supplier Selection in a Company Manufacturing PVC Carpentry Products

Abstract

Abstract:The decision-making process requires the prior definition and fulfillment of certain factors, especially when it comes to complex areas such as supply chain management. One of the most important items in the initial phase of the supply chain, which strongly influences its further flow, is to decide on the most favorable supplier. In this paper a selection of suppliers in a company producing polyvinyl chloride (PVC) carpentry was made based on the new approach developed in the field of multi-criteria decision making (MCDM). The relative values of the weight coefficients of the criteria are calculated using the rough analytical hierarchical process (AHP) method. The evaluation and ranking of suppliers is carried out using the new rough weighted aggregated sum product assessment (WASPAS) method. In order to determine the stability of the model and the ability to apply the developed rough WASPAS approach, the paper analyzes its sensitivity, which involves changing the value of the coefficient λ in the first part. The second part of the sensitivity analysis relates to the application of different multi-criteria decision-making methods in combination with rough numbers that have been developed in the very recent past. The model presented in the paper is solved by using the following methods: rough Simple Additive Weighting (SAW), rough Evaluation based on Distancefrom Average Solution (EDAS), rough MultiAttributive Border Approximation area Comparison (MABAC), rough Višekriterijumsko kompromisno rangiranje (VIKOR), rough MultiAttributiveIdeal-Real Comparative Analysis (MAIRCA) and rough Multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA). In addition, in the third part of the sensitivity analysis, the Spearman correlation coefficient (SCC) of the ranks obtained was calculated which confirms the applicability of all the proposed approaches. The proposed rough model allows the evaluation of alternatives despite the imprecision and lack of quantitative information in the information-management process.

Solar Panel Supplier Selection for the Photovoltaic System Design by Using Fuzzy Multi-Criteria Decision Making (MCDM) Approaches

“…A hybrid BWM and Znumbers, namely ZBWM in supplier development by Hamed Aboutorab et al [51]. A MCDM model for selection of suppliers in a company producing polyvinyl chloride (PVC) carpentry proposed by Gordan Stoji´c et al [52]. Figure 3 illustrates the solar panel supplier selection process which is sequentially presented in three stages.…”

The Location Selection for Roundabout Construction Using Rough BWM-Rough WASPAS Approach Based on a New Rough Hamy Aggregator

“…According to Stojić et al [58] in comparison with other concepts, a novel rough WASPAS approach has some advantages that can be described as follows. The first reason is its advantage in comparison with grey theory.…”

“…Bearing in mind all the advantages of using rough theory [56,57] in the MCDM to represent ambiguity, vagueness and uncertainty, the authors in the paper [58] made modification of the WASPAS algorithm using rough numbers. According to Stojić et al [58] in comparison with other concepts, a novel rough WASPAS approach has some advantages that can be described as follows.…”

“…After all previous calculations and obtaining the averaging Rough Hamy initial matrix, it is necessary to apply the Equations (8) and (9) from [58] o normalize the initial matrix. An example of normalization for the criteria belonging to the benefit group is: and for the criteria belonging to the cost group: In the same way, all the elements of the normalized matrix should be calculated, Table 10: Table 10.…”

“…In order to obtain the weighted normalized matrix shown in Table 11, the Equation (11) from [58] should be applied. Table 11.…”